Health Information Science and Systems

Papers
(The median citation count of Health Information Science and Systems is 4. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-06-01 to 2026-06-01.)
ArticleCitations
K-cql: an arterial blood gas analysis-based deep offline reinforcement learning algorithm for mechanical ventilation treatment91
Leveraging deep learning for epigenetic protein prediction: a novel approach for early lung cancer diagnosis and drug discovery67
Microstate feature fusion for distinguishing AD from MCI66
ADHD-KG: a knowledge graph of attention deficit hyperactivity disorder54
Nationwide hospital admission data statistics and disease-specific 30-day readmission prediction46
A novel multi-modal model to assist the diagnosis of autism spectrum disorder using eye-tracking data42
ProsthetiX-AI: An LLM-based clinical decision support system for evidence-based prosthetic recommendations40
Development and application of an intelligent management and home care system for geriatric diseases under the ‘Internet Plus’ model: big data-based risk prediction and personalized intervention39
Efficient management of pulmonary embolism diagnosis using a two-step interconnected machine learning model based on electronic health records data39
DALI-Syn: integrating chemical LLMs with multi-level attention architectures for synergistic drug combination prediction39
Identification of circRNA-miRNA-mRNA networks to explore underlying mechanism in lung cancer38
Exploring relationship between emotion and probiotics with knowledge graphs36
MSER: an emotion recognition method based on multi-signal information fusion36
Knowledge-enhanced medical image classification via descriptive priors from large language models34
Gpmb-yolo: a lightweight model for efficient blood cell detection in medical imaging34
Image-based second opinion for blood typing33
A 3D decoupling Alzheimer’s disease prediction network based on structural MRI32
Structured reflective reasoning for precise medical knowledge graph retrieval augmented generation29
An enhanced heart disease prediction model based on linear Diophantine fuzzy-integrated supervised machine learning28
A novel clustered-based binary grey wolf optimizer to solve the feature selection problem for uncovering the genetic links between non-Hodgkin lymphomas and rheumatologic diseases28
Deep continual multitask out-of-hospital incident severity assessment from changing clinical features27
Detecting stress from videos via intra-subject and inter-subject learning27
Computational and statistical insights for leveraging biomarker-driven machine learning models in predicting COVID-19 patient outcomes24
MedGAITS: a graph autoencoder network for modeling irregular time series data in electronic medical records23
Automated robust human emotion classification system using hybrid EEG features with ICBrainDB dataset23
Embedding-based link predictions to explore latent comorbidity of chronic diseases22
Detecting autism in children through drawing characteristics using the visual-motor integration test21
Convolutional neural network framework for EEG-based ADHD diagnosis in children20
Timelygpt: extrapolatable transformer pre-training for long-term time-series forecasting in healthcare19
Machine-learning-based prediction of cardiovascular events for hyperlipidemia population with lipid variability and remnant cholesterol as biomarkers19
Spatial-attention ConvMixer architecture for classification and detection of gastrointestinal diseases using the Kvasir dataset19
Dynamically stabilized recurrent neural network optimized with Artificial Gorilla Troops espoused Alzheimer’s disorder detection using EEG signals18
Supervised graph contrastive learning for cancer subtype identification through multi-omics data integration18
PKFAR: psychiatry knowledge-fused augmented reasoning with large language models17
Multi-omics prognostic signatures of IPO11 mRNA expression and clinical outcomes in colorectal cancer using bioinformatics approaches17
HTC-Net: Hashimoto’s thyroiditis ultrasound image classification model based on residual network reinforced by channel attention mechanism17
Comorbidity progression analysis: patient stratification and comorbidity prediction using temporal comorbidity network17
A multimodal approach for cardiac signals classification using deep learning with explainable AI methods17
Color-invariant skin lesion semantic segmentation based on modified U-Net deep convolutional neural network16
Adaptive filter of frequency bands based coordinate attention network for EEG-based motor imagery classification16
A drug prescription recommendation system based on novel DIAKID ontology and extensive semantic rules16
Automated lead toxicity prediction using computational modelling framework15
An explainable hybrid deep-learning and machine learning framework for automatic coeliac disease detection from duodenal endoscopy images15
An EEG-based patient-independent epileptic seizure detection method based on domain generative adversarial network15
Enhancing medical image report generation using a self-boosting multimodal alignment framework15
Meta semi-supervised medical image segmentation with label hierarchy15
Multi-dimensional perceptual quality assessment for magnetic resonance images15
A data fusion deep learning approach for accurate organelle-based classification of cancer cells15
Reasoning with large language models in medicine: a systematic review of techniques, challenges and clinical integration14
From molecular mechanisms of prostate cancer to translational applications: based on multi-omics fusion analysis and intelligent medicine14
Identification and applications of disease-associated differential human and bacterial proteins with metaproteomic evidence14
Predicting lung cancer survival with attention-based CT slices combination14
Hierarchical agent reflection for aligning LLM reasoning with clinical diagnostic processes14
A deep reinforcement learning-based wireless body area network offloading optimization strategy for healthcare services13
A new mixed reality tool for training in minimally invasive robotic-assisted surgery13
Holistic multi-class classification & grading of diabetic foot ulcerations from plantar thermal images using deep learning13
Margin-aware optimized contrastive learning for enhanced self-supervised histopathological image classification13
CLAD-Net: cross-layer aggregation attention network for real-time endoscopic instrument detection12
Enhancing cancer subtype classification through convolutional neural networks: a deepinsight analysis of TCGA gene expression data12
A computational model to analyze the impact of birth weight-nutritional status pair on disease development and disease recovery12
A framework for in-vivo human brain tumor detection using image augmentation and hybrid features12
Optimized automated detection of diabetic retinopathy severity: integrating improved multithresholding tunicate swarm algorithm and improved hybrid butterfly optimization11
Alterations of DNA methylation profile in peripheral blood of children with simple obesity11
Rapid detection and interpretation of heart murmurs using phonocardiograms, transfer learning and explainable artificial intelligence11
Linguistic summarization of visual attention and developmental functioning of young children with autism spectrum disorder11
MCA-UNet: multi-scale cross co-attentional U-Net for automatic medical image segmentation11
Multimodal learning of clinically accessible tests to aid diagnosis of neurodegenerative disorders: a scoping review11
Target area distillation and section attention segmentation network for accurate 3D medical image segmentation11
Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing11
EAPR: explainable and augmented patient representation learning for disease prediction10
Utilizing multimodal models to forecast Alzheimer's disease progression and clinical subtypes10
MOLiNAS: multi-objective lightweight neural architecture search for whole-slide multi-class blood cell segmentation10
Classifying sepsis from photoplethysmography9
Gut microbiome biomarkers in adolescent obesity: a regional study9
Predictive modeling of depression and anxiety after myocardial infarction: a study on influential factors and heart rate variability9
Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning9
Prognostic value of stress hyperglycemia ratio in critically Ill patients with acute kidney injury: a machine learning-driven retrospective cohort analysis9
Spatial and frequency domain-based feature fusion for accurate detection of schizophrenia using AI-driven approaches9
A heterogeneous multi-modal medical data fusion framework supporting hybrid data exploration9
CSL-CTEA: a systematic method for evaluating novel intelligent cognitive assessment tools8
HeteroMed: a heterogeneous graph knowledge-enhanced model for medication recommendation8
Essential proteins discovery based on dominance relationship and neighborhood similarity centrality8
Neuro-signaling techniques in video gaming endorsements: a cognitive and neural dynamics approach8
Toward intelligent clinical support for personalized sport training rehabilitation via large language models8
DA3-LUNGNET: a multi-stage deep framework with adaptive attention for early detection of subcentimeter pulmonary nodules8
Improving laryngeal cancer detection using chaotic metaheuristics integration with squeeze-and-excitation resnet model8
Hyperbolic vision language representation learning on chest radiology images7
Frailty detection in older adults via fractal analysis of acceleration signals from wrist-worn sensors7
Complex temporal network analysis based on the difference visibility graph for epilepsy with and without electrical status epilepticus during sleep (ESES) patients7
Artificial intelligence-based framework to identify the abnormalities in the COVID-19 disease and other common respiratory diseases from digital stethoscope data using deep CNN7
A transfer learning enabled approach for ocular disease detection and classification7
Leveraging electronic health records for atrial fibrillation cohort generation7
The contrastive learning method in tongue image representation learning and its significance in intelligent diagnosis7
RQA-based identification of emotions from electrocargiogram signals for emotion regulation in children with autism spectrum disorder7
BTC-fCNN: Fast Convolution Neural Network for Multi-class Brain Tumor Classification7
Evaluating topological and graph-theoretical approaches to extract complex multimodal brain connectivity patterns in multiple sclerosis7
UniMRE: a unified framework for zero-shot medicial relation extraction with large language models6
A new segment method for pulmonary artery and vein6
Interrelated feature selection from health surveys using domain knowledge graph6
LCRNet: local cross-channel recalibration network for liver cancer classification based on CT images6
Design and development of a disease-specific clinical database system to increase the availability of hospital data in China6
Enhanced prediction of spine surgery outcomes using advanced machine learning techniques and oversampling methods6
Comprehensive applications of the artificial intelligence technology in new drug research and development6
Consistent explainable image quality assessment for medical imaging6
LASF: a local adaptive segmentation framework for coronary angiogram segments6
Viewpoint-invariant exercise repetition counting6
Enhancing explainability and performance of the depression detection model on social media utilizing feature engineering and LLMs6
A lightweight network based on multi-feature pseudo-color mapping for arrhythmia recognition6
Segmentation and severity classification of scar tissues in LGE-CMR images using HDResC-Net with Flamingo gannet search optimization6
Predicting drug–drug interactions based on multi-view and multichannel attention deep learning6
Early detection of paediatric and adolescent obsessive–compulsive, separation anxiety and attention deficit hyperactivity disorder using machine learning algorithms6
Pose2met: a unified spatiotemporal framework for 3D human pose estimation and energy expenditure estimation6
Determination of cardiopulmonary resuscitation quality based on machine learning algorithms using various biological signals6
Explainable depression symptom detection in social media6
Coronary artery segmentation framework based on three types of U-Net and voting ensembles6
GradCAM as an explicability method to evaluate the performance of deep learning models in classifying pediatric arteriovenous malformations (AVM) in arterial spin labeling sequences (ASL)5
Knowledge and data-driven prediction of organ failure in critical care patients5
Quantum variational graph-driven neural framework for genomic-clinical integration in precision diagnosis5
MHA: a multimodal hierarchical attention model for depression detection in social media5
Inter-clinician diagnostic agreement of shock etiology: a multicenter observational study5
Explainable federated learning scheme for secure healthcare data sharing5
LDS-CNN: a deep learning framework for drug-target interactions prediction based on large-scale drug screening5
Multi-teacher based knowledge distillation for retinal vessel segmentation5
Task-independent auditory probes reveal changes in mental workload during simulated quadrotor UAV training5
Machine learning approach to flare-up detection and clustering in chronic obstructive pulmonary disease (COPD) patients5
Construction and application of a traditional Chinese medicine syndrome differentiation and treatment model grounded in knowledge distillation and reinforcement learning5
An interpretable machine learning model for predicting sepsis-induced cardiomyopathy in ICU patients: development and validation using the MIMIC-IV database5
Meta-path guided graph attention network for explainable herb recommendation5
Enhancing LLM-based clinical reasoning in anesthesiology via graph-augmented retrieval and explainable generation4
A review of machine learning-based methods for predicting drug–target interactions4
DPD (DePression Detection) Net: a deep neural network for multimodal depression detection4
MDU-Net: multi-scale densely connected U-Net for biomedical image segmentation4
Optimised deep k-nearest neighbour’s based diabetic retinopathy diagnosis(ODeep-NN) using retinal images4
Self-supervised neural network-based endoscopic monocular 3D reconstruction method4
STSNet: a novel spatio-temporal-spectral network for subject-independent EEG-based emotion recognition4
Design and evaluation of an exergame system to assist knee disorders patients' rehabilitation based on gesture interaction4
Identification of phosphorylation site using S-padding strategy based convolutional neural network4
Multi-omics data integration for disease phenotype prediction using adversarial vision graph networks4
Vaner2: towards more general biomedical named entity recognition using multi-task large language model encoders4
Large language models in healthcare: a systematic evaluation on medical Q/A datasets4
Features extraction using encoded local binary pattern for detection and grading diabetic retinopathy4
0.12076783180237